Emerging Applications of Data-Driven Intelligent Transportation Systems toward Sustainability with an Emphasis on Privacy and Safety of Citizens
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 279
Special Issue Editors
Interests: applications of artificial intelligent; Cyber-Physical Systems
Interests: autonomous driving; intelligent transportation system; electric vehicle
Special Issues, Collections and Topics in MDPI journals
Interests: human-robot interaction in the intelligent driving scenario; deep-learning-based safe controller design
Special Issue Information
Dear Colleagues,
Imagine living in a city offering its citizens many sustainable, intelligent services. Everyone is also mindful of their everyday choices to make the city sustainable, carbon neutral, and its surrounding nature. To build such a well-equipped sustainable city, data-driven intelligent transportation systems have the power to seriously impact the emerging technologies related to the people and city. Different innovative applications should adequately utilize the available datasets from various sources to make the city as sustainable, environmentally friendly, and carbon neutral as possible. These applications include, but are not limited to, Green Light Optimal Speed Advisor, Cooperative Adaptive Cruise Control, Last-mile Transit, Ride Sharing, Smart Grid Management, etc.
This requires innovative usages of different data sources (e.g., traffic lights, human mobility, weather and seasonality, and popular trends) and overlooking existing transportation algorithms and technologies (e.g., graph mining, optimal control theory, multi-criteria optimization, and machine learning). Therefore, a focus should be on the proposals of such applications with the intelligent utilization of existing infrastructures, services, and resources. On the other hand, there are risks of active and passive cyber-attacks on people's privacy, safety, and security of citizens of smart cities. In recent years, such examples of cyber-attacks on power grids and city-wide services have brought much attention to policymakers and researchers.
In this Special Issue, we expect you to offer emergency applications that can provide sustainable, innovative applications to a wide range of emerging technologies for a city. We also suggest you think about the possibilities of cyber security, privacy, and safety aspects using various data sources.
Following are possible but not exclusive topics:
- The novel, innovative sustainable, and smart city applications with the utilization of different data sources and their potential impacts on user privacy and safety;
- Resilient control against adversaries, e.g., cyber-attacks;
- Human-aware intelligent transportation systems;
- Applications of machine learning and deep learning in sustainable smart city;
- Reinforcement learning/imitation learning on intelligent driving control/management;
- Algorithms on connected vehicle team;
- Human factors in the intelligent driving.
Dr. Sarker Ankur
Dr. Liuwang Kang
Dr. Fangjian Li
Dr. Jinwei Liu
Guest Editors
Manuscript Submission Information
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